Objective:
Develop a comprehensive markdown document that describes each column of the climate data we are using. This document should provide detailed information about the data, including the data type, description of the column, possible values, and its relevance to our project.
Requirements:
The markdown document should include:
Column Name: The name of the column.
Data Type: The type of data stored in the column (e.g., integer, float, string, date).
Description: A brief description of what the column represents.
Possible Values: Examples or ranges of possible values that the column can have.
Relevance: An assessment of whether this column is useful for our project and why.
Details:
Ensure the document is well-structured and easy to read.
Use appropriate markdown formatting (e.g., headings, bullet points, tables) to organize the information.
Include this document in the root directory of the project repository.
Acceptance Criteria:
A markdown document that thoroughly describes each column of the dataset.
Clear explanations for each column, including its data type, description, possible values, and relevance to the project.
The document is committed and pushed to the GitHub repository.
Objective: Develop a comprehensive markdown document that describes each column of the climate data we are using. This document should provide detailed information about the data, including the data type, description of the column, possible values, and its relevance to our project.
Requirements:
Details:
Acceptance Criteria: